- get_http_client: singleton AsyncClient with limits(max_keepalive=10, max_connections=20, keepalive_expiry=60s) - close_http_client: clean socket pool teardown in FastAPI lifespan shutdown - refactor dictionary fetchers to reuse pooled client and avoid 5x TLS handshakes per word lookup - add test_http_connection_pooling (22/22 pytest passed)
317 lines
11 KiB
Python
317 lines
11 KiB
Python
import json
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import re
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import urllib.parse
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from typing import Optional, Dict, Any, List
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import httpx
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from app import config
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from app.database import get_db
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USER_AGENT = "NotesApp/1.0 (https://notes.qpid.pro; admin@qpid.pro)"
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_http_client: Optional[httpx.AsyncClient] = None
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def get_http_client() -> httpx.AsyncClient:
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"""
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Returns a shared singleton httpx.AsyncClient instance with connection pooling and Keep-Alive.
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Reuses persistent TCP/TLS connections to dictionary providers (Wiktionary, Datamuse, MyMemory)
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eliminating 300-600ms of repeated connection handshakes per word lookup.
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"""
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global _http_client
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if _http_client is None or _http_client.is_closed:
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limits = httpx.Limits(max_keepalive_connections=10, max_connections=20, keepalive_expiry=60.0)
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timeout = httpx.Timeout(connect=3.0, read=4.0, write=3.0, pool=3.0)
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_http_client = httpx.AsyncClient(
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limits=limits,
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timeout=timeout,
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headers={"User-Agent": USER_AGENT},
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follow_redirects=True
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)
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return _http_client
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async def close_http_client():
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"""
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Closes the shared singleton HTTP client on application shutdown.
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"""
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global _http_client
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if _http_client is not None and not _http_client.is_closed:
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await _http_client.aclose()
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_http_client = None
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async def fetch_wiktionary_wikitext(word: str, client: Optional[httpx.AsyncClient] = None) -> Dict[str, Any]:
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url = "https://en.wiktionary.org/w/api.php"
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params = {
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"action": "parse",
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"page": word,
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"prop": "wikitext",
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"format": "json"
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}
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try:
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http = client or get_http_client()
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resp = await http.get(url, params=params, timeout=4.0)
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if resp.status_code == 200:
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data = resp.json()
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wikitext = data.get("parse", {}).get("wikitext", {}).get("*", "")
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# Extract IPA
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ipa_raw = re.findall(r"\{\{IPA\|en\|([^}]+)\}\}", wikitext)
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ipa_cleaned = []
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for entry in ipa_raw:
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parts = entry.split("|")
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for p in parts:
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if p.startswith("/"):
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ipa_cleaned.append(p)
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# Extract Russian translations
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ru_raw = re.findall(r"\{\{t[+-]?\|ru\|([^|}]+)", wikitext)
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ru_cleaned = []
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for r in ru_raw:
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clean = r.replace("[[", "").replace("]]", "").strip()
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if clean and clean not in ru_cleaned:
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ru_cleaned.append(clean)
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return {
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"ipa": ipa_cleaned,
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"audio": [],
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"ru_translations": ru_cleaned
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}
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except Exception:
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pass
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return {"ipa": [], "audio": [], "ru_translations": []}
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async def fetch_wiktionary_definitions(word: str, client: Optional[httpx.AsyncClient] = None) -> Dict[str, Any]:
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url = f"https://en.wiktionary.org/api/rest_v1/page/definition/{urllib.parse.quote(word)}"
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try:
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http = client or get_http_client()
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resp = await http.get(url, timeout=4.0)
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if resp.status_code == 200:
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data = resp.json()
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en_entries = data.get("en", [])
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parts_of_speech = []
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definitions = []
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examples = []
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for entry in en_entries:
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pos = entry.get("partOfSpeech")
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if pos and pos not in parts_of_speech:
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parts_of_speech.append(pos)
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for d in entry.get("definitions", []):
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raw_def = d.get("definition", "")
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clean_def = re.sub(r"<[^>]+>", "", raw_def).strip()
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if clean_def and clean_def not in definitions:
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definitions.append(clean_def)
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for ex in d.get("examples", []):
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clean_ex = re.sub(r"<[^>]+>", "", ex).strip()
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if clean_ex and clean_ex not in examples:
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examples.append(clean_ex)
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return {
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"parts_of_speech": parts_of_speech,
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"definitions": definitions[:4],
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"examples": examples[:3]
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}
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except Exception:
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pass
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return {"parts_of_speech": [], "definitions": [], "examples": []}
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async def fetch_datamuse(word: str, client: Optional[httpx.AsyncClient] = None) -> Dict[str, Any]:
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url = "https://api.datamuse.com/words"
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params = {"sp": word, "md": "drp", "ipa": "1"}
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try:
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http = client or get_http_client()
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resp = await http.get(url, params=params, timeout=3.0)
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if resp.status_code == 200:
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items = resp.json()
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if items and isinstance(items, list):
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first = items[0]
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tags = first.get("tags", [])
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ipa = None
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pos = None
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for t in tags:
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if t.startswith("ipa_pron:"):
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ipa = "/" + t.split(":", 1)[1] + "/"
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elif t in ("n", "v", "adj", "adv"):
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pos_map = {"n": "Noun", "v": "Verb", "adj": "Adjective", "adv": "Adverb"}
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pos = pos_map.get(t)
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defs = []
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for d in first.get("defs", []):
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parts = d.split("\t", 1)
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defs.append(parts[1].strip() if len(parts) > 1 else parts[0].strip())
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return {
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"ipa": ipa,
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"part_of_speech": pos,
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"definitions": defs[:3]
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}
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except Exception:
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pass
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return {"ipa": None, "part_of_speech": None, "definitions": []}
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async def fetch_mymemory(query: str, client: Optional[httpx.AsyncClient] = None) -> Dict[str, Any]:
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url = "https://api.mymemory.translated.net/get"
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params = {
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"q": query,
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"langpair": "en|ru",
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"de": config.MYMEMORY_EMAIL
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}
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try:
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http = client or get_http_client()
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resp = await http.get(url, params=params, timeout=4.0)
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if resp.status_code == 200:
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data = resp.json()
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main_trans = data.get("responseData", {}).get("translatedText", "").strip()
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matches = data.get("matches", [])
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alt_list = []
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if main_trans:
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alt_list.append(main_trans)
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for m in matches:
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t = m.get("translation", "").strip()
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if t and t not in alt_list and t.lower() != query.lower():
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alt_list.append(t)
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return {
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"translation": main_trans,
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"matches": alt_list[:6]
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}
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except Exception:
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pass
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return {"translation": "", "matches": []}
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async def fetch_free_dictionary_api(word: str, client: Optional[httpx.AsyncClient] = None) -> Dict[str, Any]:
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"""Optional tier: api.dictionaryapi.dev with fast timeout."""
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url = f"https://api.dictionaryapi.dev/api/v2/entries/en/{urllib.parse.quote(word)}"
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try:
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http = client or get_http_client()
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resp = await http.get(url, timeout=1.5)
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if resp.status_code == 200:
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data = resp.json()[0]
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phonetic = data.get("phonetic")
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audio_url = None
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for p in data.get("phonetics", []):
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if p.get("audio"):
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audio_url = p.get("audio")
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break
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return {
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"phonetic": phonetic,
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"audio_url": audio_url
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}
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except Exception:
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pass
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return {"phonetic": None, "audio_url": None}
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async def lookup_term(query: str) -> Dict[str, Any]:
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query_clean = query.strip()
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if not query_clean:
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return {}
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# Check cache first
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with get_db() as conn:
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row = conn.execute(
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"SELECT response_json FROM dictionary_cache WHERE query = ?",
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(query_clean,)
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).fetchone()
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if row:
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try:
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return json.loads(row["response_json"])
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except Exception:
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pass
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words = query_clean.split()
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is_sentence = len(words) > 4
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result: Dict[str, Any] = {
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"query": query_clean,
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"is_sentence": is_sentence,
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"translation": "",
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"translations_list": [],
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"phonetic": "",
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"audio_file": "",
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"audio_url": "",
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"part_of_speech": "",
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"definitions": [],
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"examples": []
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}
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# Parallel queries via asyncio
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import asyncio
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http_client = get_http_client()
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if is_sentence:
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# For long sentences, primary focus is translation
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mm_data = await fetch_mymemory(query_clean, client=http_client)
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result["translation"] = mm_data.get("translation", "")
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result["translations_list"] = mm_data.get("matches", [])
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else:
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# For words and short phrases: reuse keep-alive connections across providers
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tasks = [
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fetch_wiktionary_wikitext(query_clean, client=http_client),
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fetch_wiktionary_definitions(query_clean, client=http_client),
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fetch_datamuse(query_clean, client=http_client),
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fetch_mymemory(query_clean, client=http_client),
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fetch_free_dictionary_api(query_clean, client=http_client)
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]
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w_wiki, w_defs, d_muse, mm_data, free_dict = await asyncio.gather(*tasks)
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# 1. Phonetic IPA
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if free_dict.get("phonetic"):
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result["phonetic"] = free_dict["phonetic"]
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elif w_wiki.get("ipa"):
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result["phonetic"] = w_wiki["ipa"][0]
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elif d_muse.get("ipa"):
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result["phonetic"] = d_muse["ipa"]
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# 2. Audio URL / File (Disabled)
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result["audio_file"] = ""
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result["audio_url"] = ""
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# 3. Part of Speech
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if w_defs.get("parts_of_speech"):
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result["part_of_speech"] = ", ".join(w_defs["parts_of_speech"][:2])
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elif d_muse.get("part_of_speech"):
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result["part_of_speech"] = d_muse["part_of_speech"]
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# 4. Definitions & Examples
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if w_defs.get("definitions"):
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result["definitions"] = w_defs["definitions"]
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elif d_muse.get("definitions"):
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result["definitions"] = d_muse["definitions"]
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if w_defs.get("examples"):
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result["examples"] = w_defs["examples"]
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# 5. Translations
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candidates = []
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# Wiktionary curated Russian translations
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for t in w_wiki.get("ru_translations", []):
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if t not in candidates:
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candidates.append(t)
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# MyMemory translation
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for t in mm_data.get("matches", []):
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if t and t not in candidates and t.lower() != query_clean.lower():
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candidates.append(t)
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if candidates:
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result["translation"] = ", ".join(candidates[:3])
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result["translations_list"] = candidates
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else:
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result["translation"] = mm_data.get("translation", "")
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result["translations_list"] = [result["translation"]] if result["translation"] else []
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# Alias translation_ru for client compatibility
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result["translation_ru"] = result["translation"]
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# Store into SQLite cache
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with get_db() as conn:
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conn.execute(
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"INSERT OR REPLACE INTO dictionary_cache (query, response_json) VALUES (?, ?)",
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(query_clean, json.dumps(result, ensure_ascii=False))
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)
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return result
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